{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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1Oasr3VwyJ5c0W1trzHnpG/Twj/+zi5+8cYDinGn85O5lrFzsjnZYSSFpknt7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\nG2NMArLkbowxCciSuzHGJKD/DwrsASxpf8zBAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x8e716a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
